Availability Infrastructure Software Software Engineering 
Dynatrace
MARCH 6, 2024
Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. “That means making it available, resilient, and secure,” Grabner said.
Dynatrace
MARCH 28, 2023
Searching for the right people can take time, especially in large and complex software environments. Despite increasing automation, software development and incident management are human-centered activities. Associated ownership information is available on each entity page. But who is responsible for the affected areas?
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Dynatrace
MAY 6, 2024
Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping.
Dynatrace
NOVEMBER 3, 2023
Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery. Platform engineering cannot stand alone, however.
The Morning Paper
JULY 7, 2019
Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.
Dynatrace
NOVEMBER 7, 2023
Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.
Dynatrace
MAY 13, 2020
All the data bound to hosts is analyzed by the Davis AI causation engine and made available on custom dashboards and events pages. One of our software engineers, Tomasz Gajger, has been involved in a research project related to GPU performance analysis. Example 1: Gain visibility into your NVIDIA GPUs. What’s next.
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